Development of a digital receiver for range imaging atmospheric radar

Yamamoto, Masayuki; Fujita, Toshiyuki; Aziz, Noor Hafizah Abdul; Gan, Tong; Hashiguchi, Hiroyuki; Yu, Tian-You; Yamamoto, Mamoru

doi:10.1016/j.jastp.2013.08.023

Cited by 9 publications

(7 citation statements)

References 19 publications

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“…The operating system of the WS is Ubuntu 14.04 LTS. The software used for the real-time data processing is written in C++, and was developed by updating the software for the digital receiver which uses USRP as a signal sampler [11]. By the update, the facility of processing multi-channel signals was implemented.…”

Section: Facility For Adaptive Clutter Suppression (Acs)mentioning

confidence: 99%

Facility implementation of adaptive clutter suppression to an existing wind profiler radar: First result

2017

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Adaptive clutter suppression (ACS) is a technique that mitigates signals from undesired objects by using subarrays. However, because many of existing wind profiler radars (WPRs) have a single-channel receiver, ACS cannot be applied to them. Aiming at implementing ACS capability to existing WPRs, a pilot system composed of auxiliary subarrays, Universal Software Radio Peripheral (USRP), and a workstation, was developed. The use of USRP enabled multi-channel reception and easy development of the software for real-time data processing by using C++. An example, in which ACS was applied to signals collected by the pilot system, is presented. Keywords: radar, clutter, adaptive array, software-defined radio Classification: Sensing References

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Section: Facility For Adaptive Clutter Suppression (Acs)mentioning

confidence: 99%

Facility implementation of adaptive clutter suppression to an existing wind profiler radar: First result

2017

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“…The SNR is defined by P / P N . Table shows typical parameters for RIM measurements of a 46.5 MHz middle and upper atmosphere radar (MU radar) [ Hassenpflug et al , ] and a 1.3 GHz RIM WPR referred to as the RIM‐LQ7 [ Yamamoto et al , ]. In the simulation, we used the same value for the NDATA (512) as that listed in Table .…”

Section: Computation Methods For the Spectral Parametersmentioning

confidence: 99%

“…Oversampling (OS) is a technique that samples received data with a vertical interval less than that determined by the transmitted pulse width. Yamamoto et al [2014] showed that a technique that uses both RIM and OS (RIM-OS) is able to overcome the range-weighting effect of RIM; hence, it is able to attain unambiguous RIM measurements in range. Yu et al [2006] also proposed that a combination of OS and adaptive signal processing is useful for improving the range resolution.…”

Section: Introductionmentioning

confidence: 99%

Error estimation of spectral parameters for high-resolution wind and turbulence measurements by wind profiler radars

et al. 2014

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Using numerical simulations, we investigated a method for calculating the spectral parameters from Doppler spectra collected by high-resolution wind profiler radars (WPRs). Because high-resolution WPRs collect a huge amount of Doppler spectra, calculations must be simple and fast. The proposed method has two steps. In the first step, the echo range (R echo ), in which the Doppler spectrum point with peak intensity is contained and all the smoothed Doppler spectrum points have intensities that are greater than the noise intensity, was determined. For producing the smoothed Doppler spectrum, a running average with equal weight (RA) or multitaper method (MTM) was used. In the second step, the spectral parameters were calculated using the Doppler spectrum points within R echo . By comparing the performance of the computation methods using RA and MTM, we concluded that the computation method using RA is more suitable because it has better estimation performance for small spectrum widths and the calculations are faster. Estimation error of the spectral parameters depends on the determination accuracy of the Doppler spectrum peak and R echo . Furthermore, for the case of a 512-point Doppler spectrum and 13-point RA, the estimation errors tend to be independent of the signal-to-noise ratio (SNR) when the peak level of the Doppler spectrum (p est ) is ∼8 dB or more greater than the noise intensity. For p est of < ∼8 dB, the estimation errors are well correlated to p est and the SNR. Therefore, the number of incoherent integration times should be determined by considering the SNR and p est .

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“…The concept is illustrated in Figure 6. A similar method was utilized by Yamamoto et al (2014) for range sampling of a 1.3-GHz wind Spano and Ghebrebrhan (1996).…”

Section: Processing Of the Signalmentioning

confidence: 99%

Development of Software‐Defined Multichannel Receiver for EAR

2019

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The Equatorial Atmosphere Radar (EAR) is a very high frequency Doppler radar operated with an active phased‐array antenna system at 47 MHz. It is located at the equator in Kototabang, West Sumatra, Indonesia (0.20°S, 100.32°E) and was established with a single receiving channel. Here, we present the development of a multichannel receiver system for EAR using a combination of the Universal Software Radio Peripheral X300 (USRP X300) series and GNU Radio software. Two USRP X300 devices, corresponding to four receiving channels, were synchronized using 10‐MHz reference clocks and a one‐pulse per second signal. Received signals were collected by the existing EAR antennas, fed to the USRPs for digital conversion, and then stored on a hard disk drive. Signal postprocessing was carried out to estimate wind velocity profiles. Wind profiles estimated using full correlation analysis indicate that the spaced antenna method from multichannel receivers agrees well with EAR standard observational data.

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Development of a digital receiver for range imaging atmospheric radar

Cited by 9 publications

References 19 publications

Facility implementation of adaptive clutter suppression to an existing wind profiler radar: First result

Facility implementation of adaptive clutter suppression to an existing wind profiler radar: First result

Error estimation of spectral parameters for high-resolution wind and turbulence measurements by wind profiler radars

Development of Software‐Defined Multichannel Receiver for EAR

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